Stochastic - 2026 Pricing, Features, Reviews & Alternatives

Stochastic is a full-stack AI agent platform that enables enterprises in regulated industries to build, deploy, and manage autonomous thinking agents on private infrastructure. Agents operate across phone, chat, SMS, and email channels, connecting to internal systems such as CRMs, knowledge bases, SharePoint, Google Drive, and custom databases, while keeping organizational data within the customer's own environment. Deployment options include private cloud on GCP, AWS, or Azure, on-premises data centers, and a SOC-2 compliant hosted cloud managed by the vendor.

The platform is built around an Agent Computer architecture that provides agents with memory, reasoning, and configurable guardrails for both input filtering and output compliance checking. An AI Builder (Composer) allows teams to create and iterate agents using natural language, while a side-by-side playground supports real-time testing before deployment. Agents and subagents architecture distributes responsibilities across specialized subagents for complex, multi-step workflows. Voice-capable agents support inbound and outbound calls without requiring additional telephony infrastructure. Agent versioning and rollback provide controlled iteration in production environments.

Stochastic targets enterprises in healthcare administration, insurance, financial services, and banking where data sovereignty, auditability, and compliance are non-negotiable requirements. Agents learn organizational workflows, language, and preferences over time, reducing errors and oversight needs. Interaction monitoring and audit trails document agent reasoning and responses, supporting compliance review. A single platform covers agent building, testing, deployment, and monitoring, eliminating the need for separate tooling stacks across the AI agent lifecycle.